[R] ssanova help
David Winsemius
dwinsemius at comcast.net
Tue Sep 1 02:53:16 CEST 2009
On Aug 31, 2009, at 7:19 PM, Josef Fruehwald wrote:
> Hi all,
>
> I'm using the ssanova function from the gss package to fit smoothing
> spline
> anovas, and am running into some difficulty.
>
> For my data, I have measurements at 2 milisecond intervals for every
> observation. Every observation does not have the same duration, so I
> have
> scaled the times for each observation to a scale between 0 and 1. I
> would
> like to smooth over time, and the following works:
>
> ssanova(Measurement ~ ScaleTime, data = data)
>
> I would also like to see how the variable duration affects the
> curve, so I
> have another column in the dataframe which contains the log
> duration. I did
> it like so:
>
> Durations <- data.frame(LogDuration = log(tapply(data$Time, data
> $Token,
> max)), Token = levels(data$Token)
That looks wrong. The results of tapply will not in general be a
single number, so LogDuration could be a rather weird list of things.
Have you run summary() on it?
> data <- merge(data, Durations, by = "Token")
But maybe I am not really understanding your genius.
>
> Now every measurement point for every observation also has the
> log(duration)
> of the entire observation associated with it.
>
> I would assume that the following is how I should specify my formula:
>
> ssanova(Measurement ~ ScaleTime * LogDuration, data = data)
I wonder if log time (once you confirm that the variable is what you
want it to be) ought to be entered as an offset?
>
> but I get the following error:
>
> Error in if (!((2 * order > dm) & (dm >= 1))) { :
> missing value where TRUE/FALSE needed
>
> I get the same error if I try
>
> ssanova(Measurement ~ LogDuration, data = data)
>
> Any suggestions as to how I should approach this problem? I know
> that if I
> break duration into some kind of factor, I can successfully fit the
> model.
> However, I would like to assume that there is a continuous
> transformation of
> the curve shape as duration increases or decreases.
>
> Thanks!
> Joe
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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